{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualizing NBA Shots with `py-Goldsberry`\n",
    "===\n",
    "\n",
    "One of the coolest features of `py-Goldsberry` is access to raw data for NBA shots. \n",
    "\n",
    "Visualizing NBA shot charts as a method of analytics was proposed by Kirk Goldsberry at the 2012 MIT Sloan Sports Analytics Conference ([read paper](http://www.sloansportsconference.com/wp-content/uploads/2012/02/Goldsberry_Sloan_Submission.pdf)). \n",
    "\n",
    "Given the data `py-Goldsberry` provides access to and the methods proposed by it's namesake, it would be inappropriate to not include some additional functionality that eased the creation of shot charts for NBA data. Thanks to some great work by (Savvas), the `py-Goldsberry` user has the ability to easily acquire and visualize NBA shooting data in Python.\n",
    "\n",
    "###Getting The Data\n",
    "\n",
    "We start by getting the data that we want to visualize. We can do this by using the `player.shot_chart()` class on a player ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.6.0'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import goldsberry\n",
    "import pandas as pd\n",
    "pd.set_option(\"display.max_columns\", 50)\n",
    "goldsberry.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "players_2014 = goldsberry.PlayerList(2014)\n",
    "players_2014 = pd.DataFrame(players_2014)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have a DataFrame of players and their ids that we can use to get information on a specific player. For the sake of simplicity, we are going to study the shooting pattern of James Harden. To get his ID, we can either scroll through the table or do a quick filter using Pandas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "196    201935\n",
       "Name: PERSON_ID, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "harden_id = players_2014['PERSON_ID'].ix[players_2014['DISPLAY_LAST_COMMA_FIRST'].str.contains(\"Harden\")]\n",
    "harden_id"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have the unique **PERSON_ID** for James, we can collect information on his shots using another `py-Goldsberry` class, `player.shot_chart()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ACTION_TYPE</th>\n",
       "      <th>EVENT_TYPE</th>\n",
       "      <th>GAME_EVENT_ID</th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>GRID_TYPE</th>\n",
       "      <th>LOC_X</th>\n",
       "      <th>LOC_Y</th>\n",
       "      <th>MINUTES_REMAINING</th>\n",
       "      <th>PERIOD</th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>SECONDS_REMAINING</th>\n",
       "      <th>SHOT_ATTEMPTED_FLAG</th>\n",
       "      <th>SHOT_DISTANCE</th>\n",
       "      <th>SHOT_MADE_FLAG</th>\n",
       "      <th>SHOT_TYPE</th>\n",
       "      <th>SHOT_ZONE_AREA</th>\n",
       "      <th>SHOT_ZONE_BASIC</th>\n",
       "      <th>SHOT_ZONE_RANGE</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_NAME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Missed Shot</td>\n",
       "      <td>18</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>226</td>\n",
       "      <td>39</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>3PT Field Goal</td>\n",
       "      <td>Right Side(R)</td>\n",
       "      <td>Right Corner 3</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Layup Shot</td>\n",
       "      <td>Missed Shot</td>\n",
       "      <td>39</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>-15</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Restricted Area</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Made Shot</td>\n",
       "      <td>41</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>-232</td>\n",
       "      <td>110</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3PT Field Goal</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>Above the Break 3</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Missed Shot</td>\n",
       "      <td>95</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>-146</td>\n",
       "      <td>135</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Driving Layup Shot</td>\n",
       "      <td>Made Shot</td>\n",
       "      <td>120</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>-8</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Restricted Area</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ACTION_TYPE   EVENT_TYPE  GAME_EVENT_ID     GAME_ID  \\\n",
       "0           Jump Shot  Missed Shot             18  0021400003   \n",
       "1          Layup Shot  Missed Shot             39  0021400003   \n",
       "2           Jump Shot    Made Shot             41  0021400003   \n",
       "3           Jump Shot  Missed Shot             95  0021400003   \n",
       "4  Driving Layup Shot    Made Shot            120  0021400003   \n",
       "\n",
       "           GRID_TYPE  LOC_X  LOC_Y  MINUTES_REMAINING  PERIOD  PLAYER_ID  \\\n",
       "0  Shot Chart Detail    226     39                  9       1     201935   \n",
       "1  Shot Chart Detail    -15     15                  8       1     201935   \n",
       "2  Shot Chart Detail   -232    110                  8       1     201935   \n",
       "3  Shot Chart Detail   -146    135                  4       1     201935   \n",
       "4  Shot Chart Detail     -8     22                  2       1     201935   \n",
       "\n",
       "    PLAYER_NAME  SECONDS_REMAINING  SHOT_ATTEMPTED_FLAG  SHOT_DISTANCE  \\\n",
       "0  James Harden                 58                    1             22   \n",
       "1  James Harden                 25                    1              2   \n",
       "2  James Harden                 21                    1             25   \n",
       "3  James Harden                 32                    1             19   \n",
       "4  James Harden                 38                    1              2   \n",
       "\n",
       "   SHOT_MADE_FLAG       SHOT_TYPE        SHOT_ZONE_AREA    SHOT_ZONE_BASIC  \\\n",
       "0               0  3PT Field Goal         Right Side(R)     Right Corner 3   \n",
       "1               0  2PT Field Goal             Center(C)    Restricted Area   \n",
       "2               1  3PT Field Goal  Left Side Center(LC)  Above the Break 3   \n",
       "3               0  2PT Field Goal  Left Side Center(LC)          Mid-Range   \n",
       "4               1  2PT Field Goal             Center(C)    Restricted Area   \n",
       "\n",
       "   SHOT_ZONE_RANGE     TEAM_ID        TEAM_NAME  \n",
       "0          24+ ft.  1610612745  Houston Rockets  \n",
       "1  Less Than 8 ft.  1610612745  Houston Rockets  \n",
       "2          24+ ft.  1610612745  Houston Rockets  \n",
       "3        16-24 ft.  1610612745  Houston Rockets  \n",
       "4  Less Than 8 ft.  1610612745  Houston Rockets  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "harden_shots = goldsberry.player.shot_chart(harden_id, season=2014, clutchtime=8)\n",
    "harden_shots = pd.DataFrame(harden_shots.chart())\n",
    "harden_shots.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy.stats import binned_statistic_2d\n",
    "import seaborn as sns\n",
    "from bokeh.plotting import figure\n",
    "from math import pi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.17'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import urllib\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Circle, Rectangle, Arc\n",
    "urllib.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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AgF7CG+y+vMWpl7c4ddeSZ+VwODp1zLXrSnXMlSuT2SKT2aKjzaN9AToAXKgIoAGglyDY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\nw4szsXy5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x203f8da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"white\")\n",
    "sns.set_color_codes()\n",
    "plt.figure(figsize=(12,11))\n",
    "plt.scatter(harden_shots.LOC_X, harden_shots.LOC_Y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FF16Yz372s+nv78/s2bOzdOnStLS05JxzzsnZZ5+dwcHBrFmzxgZCAAAaWku1Wq3WehBD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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20951c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "right = harden_shots[harden_shots.SHOT_ZONE_AREA == \"Right Side(R)\"]\n",
    "plt.figure(figsize=(12,11))\n",
    "plt.scatter(right.LOC_X, right.LOC_Y)\n",
    "plt.xlim(-300,300)\n",
    "plt.ylim(-100,500)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from matplotlib.patches import Circle, Rectangle, Arc\n",
    "\n",
    "def draw_court(ax=None, color='black', lw=2, outer_lines=False):\n",
    "    # If an axes object isn't provided to plot onto, just get current one\n",
    "    if ax is None:\n",
    "        ax = plt.gca()\n",
    "\n",
    "    # Create the various parts of an NBA basketball court\n",
    "\n",
    "    # Create the basketball hoop\n",
    "    # Diameter of a hoop is 18\" so it has a radius of 9\", which is a value\n",
    "    # 7.5 in our coordinate system\n",
    "    hoop = Circle((0, 0), radius=7.5, linewidth=lw, color=color, fill=False)\n",
    "\n",
    "    # Create backboard\n",
    "    backboard = Rectangle((-30, -7.5), 60, -1, linewidth=lw, color=color)\n",
    "\n",
    "    # The paint\n",
    "    # Create the outer box 0f the paint, width=16ft, height=19ft\n",
    "    outer_box = Rectangle((-80, -47.5), 160, 190, linewidth=lw, color=color,\n",
    "                          fill=False)\n",
    "    # Create the inner box of the paint, widt=12ft, height=19ft\n",
    "    inner_box = Rectangle((-60, -47.5), 120, 190, linewidth=lw, color=color,\n",
    "                          fill=False)\n",
    "\n",
    "    # Create free throw top arc\n",
    "    top_free_throw = Arc((0, 142.5), 120, 120, theta1=0, theta2=180,\n",
    "                         linewidth=lw, color=color, fill=False)\n",
    "    # Create free throw bottom arc\n",
    "    bottom_free_throw = Arc((0, 142.5), 120, 120, theta1=180, theta2=0,\n",
    "                            linewidth=lw, color=color, linestyle='dashed')\n",
    "    # Restricted Zone, it is an arc with 4ft radius from center of the hoop\n",
    "    restricted = Arc((0, 0), 80, 80, theta1=0, theta2=180, linewidth=lw,\n",
    "                     color=color)\n",
    "\n",
    "    # Three point line\n",
    "    # Create the side 3pt lines, they are 14ft long before they begin to arc\n",
    "    corner_three_a = Rectangle((-220, -47.5), 0, 140, linewidth=lw,\n",
    "                               color=color)\n",
    "    corner_three_b = Rectangle((220, -47.5), 0, 140, linewidth=lw, color=color)\n",
    "    # 3pt arc - center of arc will be the hoop, arc is 23'9\" away from hoop\n",
    "    # I just played around with the theta values until they lined up with the \n",
    "    # threes\n",
    "    three_arc = Arc((0, 0), 475, 475, theta1=22, theta2=158, linewidth=lw,\n",
    "                    color=color)\n",
    "\n",
    "    # Center Court\n",
    "    center_outer_arc = Arc((0, 422.5), 120, 120, theta1=180, theta2=0,\n",
    "                           linewidth=lw, color=color)\n",
    "    center_inner_arc = Arc((0, 422.5), 40, 40, theta1=180, theta2=0,\n",
    "                           linewidth=lw, color=color)\n",
    "\n",
    "    # List of the court elements to be plotted onto the axes\n",
    "    court_elements = [hoop, backboard, outer_box, inner_box, top_free_throw,\n",
    "                      bottom_free_throw, restricted, corner_three_a,\n",
    "                      corner_three_b, three_arc, center_outer_arc,\n",
    "                      center_inner_arc]\n",
    "\n",
    "    if outer_lines:\n",
    "        # Draw the half court line, baseline and side out bound lines\n",
    "        outer_lines = Rectangle((-250, -47.5), 500, 470, linewidth=lw,\n",
    "                                color=color, fill=False)\n",
    "        court_elements.append(outer_lines)\n",
    "\n",
    "    # Add the court elements onto the axes\n",
    "    for element in court_elements:\n",
    "        ax.add_patch(element)\n",
    "\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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S3n1X2rXLXo+Pl845RzrvPFvZq1ePEWMID6VL24rz2WdLo0fb5sPg6vTMmdLX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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x24648c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,11))\n",
    "draw_court(outer_lines=True, color=\"red\")\n",
    "plt.xlim(-300,300)\n",
    "plt.ylim(-100,500)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Ok+P69NNPUV5ejtGjR2Pw4MFSl0NEHVyLlsazNS6NR0QtcePGDfTs2RNqtRo//fQTN/Fw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zp25O3H4jB1O11TDjNuHsaryj8KuYBpu9YWt6VlMhm+vr5kZmaqfrOWm4ch89YW+lZZh7u51chI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\nSLwSYQzW0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Nzk88mTJ/Pkk082O/6OO5orVZbk5s2lC9i+f02LY+QpL21aTQNgWQaskRN7\nzzkpz2GBc9HPMbVaTQTZFGgaK+q4Ou67MyCUaQ9CWBicj5QUvvYgZZlxRS3clu6nPdvi4+PD5MmT\nW/w+JycHlUrFoUOHTKpmLF261KIy/dprr/Huu++i1WppaGigoaGB6upq3nnnHX7/e8uyWF5eTlhY\nGMOHD2f48OEMGzaMSZMmWd0HS3KzLWVXi2PkSQrfvPHegGUZsEZO7D3nOno+d1/DBI2Yz7FIZMxJ\nlKFUKkUdcScglGmBx+FsC9hNo/px9EQWI4bGM3uWWLTsibPd/q0pQ85qy8qVK3n22Wc5fvw4J06c\n4NKlSxQWFpKYmGjx+IqKCgoLC00+k8lkVFZWWjx+0aJFPP3000RFRdl9B9SWxkjKL2220lab3S1U\nRWzg4hmYz7F8zQCUSqVbyaI7I5RpD0JYGJxrATO9VjxVh88ye5bdL+NQhMw0RwrKUEhICBMnTmTi\nxIltHrtkyRIWLVqEQqEwxFr7+fm1GEbSo0ePDrdPyE37sffY2eN8UpB5gcCdEdU8nIgzsmLbssp6\ncmYuODeb3h0z9y3hSEu+I+XN02VZ6tgiN/Yqe2cNjq7mYY/zSikBUSBNbJU3R80xT15nRTUPQYt4\nooVBPChchxh7QUvYstaIUAJT7L1Oe+K6L7ANMcdci1CmBZLG1rANZ7qfPcHV3dr4elLSmMD1CIVP\nIHAsYo65DqFMCySNrYlLznw79wRLQGvj60lJY+6OpZrOwmPQhPH4CAQCgbMRyrTA43Dm27mwBAgc\njbmHIGXP28iQUUBjDVlzj0FnC80xHx+Bc+ls8iYQWELu6gYIBK0xc0YSUYqzaDUNaDUN10Ip7LPb\nmqD18RVjLw2MPQQyuYLsy2oKiDP8bbxLo16xXLdHzbo9ap5e8h4qlcrFPXAs5uMjcB6dUd4EAksI\ny7RA0nhCKIWUaauushh790KqoTnCeumZSFXeBAJnI5TpToC7xxOKUArH0tr4irF3PuaKp3mi68Ao\nJTJOka8ZANgn8dWRyq6jE1nNx0cgEAicjVCmPRwRTygQuA8tKZ6mHoI/AFj0GLSnwoyjlV1HWy/N\nPShb37HLaQVW4AkVjQQCeyCUaQ/H/EEmEHQU4bJ3HK0pnubKp/5vlUrF+m82A433w9bQHE9w1Rt7\nUOa2cIyQW/sjQsEEgkaEMi0QCKxG1J6WFi3dDykpwlKwXgq5dRwiFEwgENU8PB7zigwCQUcwr5xg\nXElC0HFsraCy4futHb4fjq7aordezhvvzbzx3i5RYoXcCgQCRyIs025OW65LKcYTCnerQGCZltzm\nluaMSqUiedNOiJzkkGvaE2G9FAgEnoxMp9PpXN0IPXl5eUyZMoXU1FSio6Nd3Ry7I5PJALDXkJu7\nLqMUZ9u0+ti7DbbSnjYLpIP+/hm77Fu7f46UN1fLsrNoac5s3JLCF7uuUp6bTmjMGAC8ytNI/vsr\nnXo+WZILW+XW2vMKBI5CKvImlXY4AnvqnMIy7ca4Y+KQO7ZZ0IRIOHI+Lc0ZALlCSWjMaKoKs9Bq\ntfxuZqLJ/fAkL1BH+iLkVuCJeNL8dneEMi0QCGzC2S578cCwjHFiX0BEPD29zjF71nTD99Ym3bnD\n+NojgVCEmgg8CZFUKy1EAqIb447bPbtjmwWuQ2xX3PKcaSuxz5qkO3cZX5FAKBCYIuaEtBCWaTfn\nplH9OHoiixFD45k9S/pvpcLd6j5IwWIpwoLa3vLdlrFQq9UmNanF+AoEnoP5/BbPVuchlGk3xdTF\nE0/V4bPMnuXqVlmHcLdKH+FClBYtzZnWXnjM6ztHyk7xc5qMAuKAxnt60yjrdkZ19YuVFGpVCwRS\nwpr5LdZs5yHCPNwU4eIROBKpyJcIC2qZtkI0zMNAJo0ZSAFxJvcUaHN8pRAKIoVa1QKBlLBmfgud\nwHkIy7RAYEdcbcFrD1JuswgLahlLIRobvt/KvLl3G44xtmg3un/VJudQKpVtjq9UQkHMrfMqlYoN\n3281CnObLmRD0Kloa34LnIewTLspwmInPaRgwbOVltosJfnSPzDm3HOHUJbaIHnTzhZlrrVERncb\nX5VKxcIX/0ZyGmTXxvNh8n6eevFtyc83gcBRSGnN7oyITVuciCM2bbHVoujJBdhdzfpvNrNuj9pg\nwdNqGpg33lvS8eGttdkeFmuxaYvjUKlUzH5sCeXqQAAaVJWE9L6e+RP9WpS59tzT9m540lH5Mf79\ntKQJbEvZZTjXxi0pzeS2Ij+DhbOvY+7sO4EmubCX58WZ8iZlb5HAOZjLmzUy4Qi58eR1VmzaIgBE\nIp/AsQj5chx2U/DkcoKjEgAoPbevzePbc0/bE2rT0QRW899/9OUS/HqNR65Q2pw46exEWnu8RLSn\nzUIB91yslQmxZrsOEeYhENgJd3SzuWOb3R17hQNt3JKCNmysIeEotM9YFCV7HXL/bA0F6WgCq/nv\n/WMmUV182iRxMpJTBrktO3+AgVHKZn13diKtPe5te9rsjiFmAuuRSkK4oGWEMi2wGZVKxfpvNrP+\nm81iwTbCHSsO2LPNQi6sw5EPxvvunNTq/fOUe6RUKnn/9UXMSZQxqOtJnpwzlg9e/4PL55urlB6h\nbAkErkUo0wKbEBaQ1nHHZC57tFnIhfOx5FUw3k4cTJXniooKp92jjno8zH9ffWEnfuH9myVOzpt7\nN6tfe5l5c++2KLvu6HlxxzYLHIslmZiWNMEjXow9BZGA6ESkEMjf0Ta4Y5KdwPG0JBfmyWD2RArz\nqT20N6GvpXO1FCdrHmepKDuAOmgkCmXjMY6eu9bG8LZ0XGsJiK2NVXsSt6zBGnmz1721tc32lCmB\nNGhNjqclTeC5lWsMcztKcdZh99td11lrEAmIAoFA4KbYs3Z2awlH5vWhG0LGUJWfQXD08PY13I5t\n0ysGarWanWnZFDIQME2sMv99e5V+ZyZl2eve2tpmUY/d8zGvKS2F2u+CJoQyLbAJsa2vwBJCLmzD\nVVn3QfIStJoGwHX3yNxiXnq+nNBYLXKF0iOUAlfdW1HJQSBwHUKZlijtdXE6GntbQOxZi9bVY9OZ\nEZYx6WHpBefNj1carSWuuUfmFvPQ2ESqCrMIihrq9LYIBO5IW8YL8Vx0PiJm2olYG3tkbLnRatTU\n5P5CQOxkoOOxUVKKfzK3UNnat47+XuB4OvOmLe2Je9WHPkBjxYqOPgjbu0mL+W/s+XC2FF9fkZ9B\nUI8hdon1bUkuOtoHqcubsxEKm2NpS95ayzWw53PRk+XenjqnUKadiLVCafywqbh8gsDIwXZL+JPS\nxOhoMqNIhpQ+nqRM26I82PpA0x+fV9+b8ouHCesz1qrf2bsfltr95tIFdk12Mk+W6yE7zcQxcXZ5\neQDLcmEPBUNKa6erEYYMx9NeebP3c9GT5V4kIAoE19Bq1FQXZALgF94f8HZtg1yIsBQ5Dlt3pTMP\nZWgrFlh/fHVxJmF9xto9scjY6v1z2ikKiLPYD0vtXvHG+1zWxNutTc1DghY5XFZtvR+C1hHjKRCY\nIupMSxDjmpJ+4f2pytnhkTVHO1pPdVrSBGpyfyEwcjCBkYO5mreHaUkTHNhi6eJpdZ5b21xE/529\nz9saUt4Uo60+GcvGmo2/UkCcy/vhjvXYBQJ3QNQpdw1CmZYgxrvSzZ/ox6bPV7nVrnrW0tHd97al\n7CIgdrLJlsP65KrOhpSVPVtp7cXA+Dvj4zt6Xntj6wNNf7xfeH9Kz+23+nfW9MlUNlpf8i21e9ni\nhW7/cBYKhn0R4yld3HEnXk9AhHlIFHvVWJU6opyTwJzWXMjm3+mPt0aGOuKatrX0n63VTYyPV6sb\n46UbY4hb/52tfQqIGETpuf2E9km02I+W2u3ulVo8oQ9SQoyntBHPVecjlGmB2yJqGzchxsKxtEd5\naM/GG8bHG8c5NzQ08GvWaUYMjWf2rOmtXvtg+nGTmHlT2ZARHqClv08GI0ckMHtW835Yare7PpzN\nS4wK7Ie7yoS9EDkqAmNENQ8nYk1WbEVFBSveeB+AZYsX4uPjY9cJ62mZuWJBa0KKY9EeeWtta2Tj\n77a+cw8AtbW1Vpd8s3RewGTczP925Di2Vd7KvLpHybm9hPrWcs/tE1AqlajVajb+dBhNaKOluSh7\nO97+YQyK7sIHr//B5Hwbvt9K8qadaLvdiFyhJIJsJo0Z2GoVDSnKVFvoZa62ttauJUY9be0UtB9n\nVDORirxJpR2OQJTGc1PaEsqKigrufGiJYcGvOPcTA/pEUyQbBNhnwnryxBBIj/bKW1vl2zZuSWHu\n7DttPrf5eQGTh2Ikp9ChM2xv7ciSX609kPXlrSoLMpuVxqy4dByNupaQ3qMov3iYkN6jqCrMprIg\nix4Jt+Pl3ZXSc/t5cs5Y5s2923A945JZWo2asvNphPVtuQSfu5Y/08vc1xs22bXEqFg7BXqcUZZV\nKvImlXY4AnvqnCIBUUL8+bW/ofXuRmVBJjqdFp1vJEWyQTYllbW3WoFAICVaq/bQEfey+XnNEzfz\ndQM4dVntlETO9iSNatR1VBadRe4TQs6R/1BTU83FX1PJP5NGdXUVZw4kk396H3gHsH3nLq5cuWLx\nIVhVeJKwvmNbvbYnJbUKBJ0VoRM4BxEzLRFUKhUnThcTFHMzAKU5B5ArbN9a25ZauAKBQJrcdfst\nfPvfpeSW1nLm4CbU6joqiy9QX1thxa+3ALAf+HzNO/j7+zN06FASEhK4cr4Ebeho0KpbP4UHYBwr\nri8x6h8zCRA5BYKO4S45KkIncB5CmZYIG7ek0CXmZoPbKDRmDJfTkwn1rUEbfgPQ9oQVhfQFAtsw\nfyj2kJ0mMkpJgaYBcOxD0vzaYepfUdf25ZFHHuHHH3/k8uXLzX4jlyvw7hqMwktJ1+AoNKpK/MP7\nIFMo0Ol0aBvU1Fbko9Bexb+LgqKiIqqrq9m3bx/79u27dpbv8fb2JjK6HwEx4+kWM4IBYTXN+uku\nCkNLmCaNejMtaZWhdKZUqk+4Y0y6wH2qmQidwHkIZVrC+EXEowkdjLzwZ+67c5LFzPvOingIiTGw\nB5Z24wOc8pD09fXlzaULWL7idXbuSOWHY+ms/VBr+D4yMpJx48YxZMgQrtZpiInpw7z77+GHn3aj\nVqtJP/oru47kETFoCtXFp4HGXUD9ynex7tO3DO0uLi7m+PHjHDp0iM++2MDl/AJqyi9x8VwWnMsC\noOK66/j00y7cf//9hIaGGtq36vn5PPnscgBWvbXcrWXMx8dHUkqEsBq6N529monAFJGA6ERaC+Q3\nrzRQlnOA0NgxyBVKq5MbWquCYE0b3AV3TYyyJ+4yBo6UN3eW5XPnzvHOO+/w5ZdfUlpaCoCXlxcT\nJkxg6tSp3HbbbQwdOpS6uroW77NKpWLBH/9C5pkCIgffCkBh5g/8d+0qunfv3uyaxklTtVXFFJ07\nTJfq45zM+pXKykoAvL29ueuuu/j973/PsGHDTBKiq3J2sOnzVQQFBTljiNqNpWoe0PE5Ym95c0YS\nm8B9sYe8WaMTOKMdUkUkIHogxrsWDep6kpDeo5ArlIbvD6Yfp6KiotVEgs6y85FIjBJj4K6cOnWK\n+fPnExcXx7vvvktpaSnDhg3j7bff5vLly6SmpvL8888zbNgwZDKZ4T7rdFoqCzLJzK1lw/dbDV6J\nMH85kYNvNchB9/ipbN91oM12dAnoRq+EW/jDn16gsLCQr7/+mltvvRW1Ws2GDRuYMGECCcOuo04R\nDjK5YYdRfdlOd0DMEUFnp7PoBFJAKNMSQu82enXZH4n2vmjYqrUs5wAZFTHc+dCSNrdCbq0KgkAg\ncA0XL17kgQceID4+ni+++AKA+fPnc/jwYY4ePcqiRYvo1q2bxd9qNWrKLhwkMHIwwVEJ/Pu/e1n4\n4t9Yt0fNoZzmxx9MP25xbZg5I4lIThnWlR6y04bwoDlz5vDjjz+Sk5PDkiVLCAoKIu/ieQ58u5y9\nyS9SdvmkPYdDgNiSW+AchE7gHIQyLUH0b5ODup6kMj+D0NgxXC3LISB2srCyIB5CIMbAXVCr1fz1\nr38lPj6er776CoVCweOPP86pU6f4/PPPGTlyJHV1dS16nGbOSEJevIew2ETD3C9XB1JAHDK5gsAe\ngyk9t9/kxTurun+LL9s6dFTmZ1CZn4GO5m7b3r17s3LlSi5cuMDLL7+Ml9KH8ssn2bv+BQ5/v5Sn\nHpvrsLGyN9OSJlCVs8MwNtUXdkpqF0RhNRQIPAehTEsUX19fRo8cRlBUAgC1Vy6j1aipuHyCissn\n0Go8v7RVS4iHkBgDR2GvmqwqlYrlK9+gT99+LF68mKtXr5J4w42sfucj3n33Xfr27Ws47ukl77Fu\nj5ovdl3lnoefZ+3X3xmu7evry313TmrxOnKFkuDeI+lSkmp48VYofZu9bKtUKl5esZpTl9UE9hhM\ncPRwCnRxLb6QBwUFsWrVKs6fO0PiuInI5QoKL2YxevRoPvvss2bxk1KsZbstZRd+vcZTVZhFVWEW\nXaNvNFTz0OPqdnua1dDV4ykQuAqhTEuYmTOSiCD72k5l4yjK3kFg5GACIwdTeno7N09IdHUTXYan\nPYTagxgD+2Ks2LYWStUWNTU1jJ9yF6/8+SUu5eUSEBTK6Al3oOx1K9uy/E3OaxwTXZ6bDpGTSE7D\n5JjZs6abeCEGRilNwjV6+eRy1+23EBSVYJJnYd6v7Np4gqISKLtwsM2Xcb1S9Mv+I+xM/YHMzAym\nTJlCWVkZjz32GLNnz6aiosKu4+YI5AolQVFDCYoa2mxspNxud6S18RRKtmMQ4yodhDItYXx9fZk0\nZiBhfcdytSzHJNGo26CpvPG3T1zdRIHAY7BHwlpRURFjb7iRw3v/Bzod/a6fxYAx99B95EMERSVQ\nnptObl2vZuetKjxpEsphfG1zL8QHr/+B919fZOKVMFe4jcN+zPsVGjOGivzMFkODLClFMTExpKSk\nsG7dOgIDA/n2228ZOXIkhw8flmyiX1uhUFJtt7vS0niKlxbHIMZVWog60xJHqVQCnTekQyCQMsa1\nvqMjQ7j33nvJz8/Hu0sgw6c+jU5VSsSgW0w2Y6rIzwCuA5o2RilrqKfi8q/I5HICIgYBMpPrWKpp\na/63cb3saUkLDP9Xq03XD61GTaSygJtG3WKxT61t9PDAAw+QmJjIvffey5EjRxg3bhwPPfo78JnU\nrjFzZH10d9lYw9MRG4c4BjGu0kJYpiWO3rriF97fJNGo+sJOli1e6OrmoCGtyAAAIABJREFUCQQe\ng61JncaWodXr9jN58s3k5+dz4403cvcDT6LQ1uEbGNnsd8HyEsN59Ru3hHdRERSVQGDkYMrOpxEp\nO2VzQqle4Z45I4nnVq4xWKx2HDhJxbmf0GoaaKivpfT0dlTdbmkWTmIt/fv3Z+/evTz55JPU19ez\n5qP3yD/wEZoGdZvj5mxrWmuhUCKJ176I8RR0ZoQy7QbcNKofgwPO8vBdw4nzyWBQ15NusXmCoBF3\njmtz57bbiq1JnXrL0OVTezi86S80NKiZOGkKO3bsYPrNownrO7ax2kbOAYOCoSg7wJcfrzQ577aU\nXWjDxjaFYfRJZNKYgUDjxh5rv/6OtV9/Z/U9MHe3FzIQnXc3qgqzKDmzi+7xt7Ua2mCNUuTr68sH\nH3zARx99hFwuJ33fT2hP/4sHxnm1Om5thVY4U95EEq99aWk8hZLtGCyN67SkCS3On860lrsCEeYh\nYUx3uYunKvMs7656Xiz4boQ7bxnszm1vL9ZsEawPUziYfpzczAKO/+8DQEff62fxuycfQqlUGsKz\n5AoloTGjqcjPQFVxmeHxMfj4+FjVlqdefJuTebXUV5cSMWgKoLZ4D8zDJiwhkysIihpq8buD6cdN\nwi1sCY/4f//v/xEZGcl9993Hj9u2ENu7J3Nn32lT24yPdaa8OSvcpDNhaf6IcBvHYD6u05IW8NzK\nNRbnT2dcy52NsExLGJEg4/648z1057Y7CuMwhV9O1nEi5UNAR9wNc5ky8QZm3dG4rbdxjWOQoaq4\nTLcBEy2Wo7NkYVKr1WSeL0cu9yJi0JRWLbnmYRPTkiaYnK/0/D7UtRVoNQ34hfc3qb3cUl1qWyrF\nzJw5ky1btuDr68vf//53VqxYYXXbWkuUdKS8ieQt5yIqDzkG43HdlrKrxfkj1nLHIyzTAoFEEJYy\n6aN/KF0pPMPhzW+g02npP2gYMyYNYdniBYZ7tmlrKl2iEinKTgUgrO+N1JScJSAiHrVazfpvNgNN\n99ncwvToUy/i5ROJDq3Fdhhbx/Pq+6NQNiUhbUvZxZtLFzBjzlMQGEdYn7EAVORnkNhPwbLPV7Hi\njfdJO6shNHYMcoWSSw19eXnFakaPHGaV7KlUKjZ8v5WjJ7IYMTSe2bOms379eu6++26WL19OVFQU\nASGR5NX3pro4EwBNeH+2peyShJVSJG8J3B1bvD4CxyMs0xJGxJq5P9beQylayoT8WabmSj5p361A\n01BP1KAJhMXdSlZ1f55buQaVSoVKpeLrjalUXDpOxKBbiBh0C5WXTtDQUE8P2Wl2pmU3u8/myYOq\nbo11ozWqGkrO7TVJPL55QqJBVrJr4ym/eLhZ3ehNW1Op1fkbak/LFUqCegwBwMfHx7AhlHHt5bSz\nGtbtUfPUi28bYrQrKiqaxVmqVCqeevFtPkzeT3ZtPMlpsPDFvzF16lTeeecdAH73u//Hgf17Kb94\n2FAb/8rFdNRqtSGOFjCUToPm8uZVnoZarXb5PLA31sSudqb41s7UV3thjdfHeP6ItdzxyHTmW1m5\nkLy8PKZMmUJqairR0dGubo7dkckay13ZMuT2tla2pw2CjmHNPVz/zWbW7VEbLGVaTQPzxnu73FLW\nUflzpLy5QpZramro3SeOsuLLhPcexphZSwEZVYVZBETEM2+8NwDvJx8iOHq4yf2M88lg5IgEktNo\n8T5bkoMrecepvZJL17AYAroPZHDAWbJr402OqcjPIKjHEHp6nePNpQt48OnXUAeNpPziYUJjGzd3\nKvh1K90GTqZ3l3zeXNoYX3mpoXEnxrKcA4TGjmn8//k0wvo2WrOrcnbg12s8coWSKMVZg1X5gw1H\nCIpKMGnDnEQZuw+fZcfuNM6kfYO3jy83Pfg+XQLCTY6ZPWu6Sfym/rz62M4N328ledNOtN1uNLmu\ntbJnjVzolRF9/3t6nWvzGvaQN/PYVUt9s+YYT6Ez9dVWWpO3lp4XM2cktTh/gHat5Z6sM9hT5xSW\naYkjYs2acFcLhjvfQ3duuyP4v//7P8qKL+PjF8J10/9occdBaFKWjUkcfd21xERTzOtAm1NXXUiP\nhOmERI9o8XqJ/RSGCgrbUnahCU1EofQlNLaxrvXFg1/jHRhJ6bm95Nb1MoRbzBvvzaCuJwnpPQq5\nQtm4eUzfpsoi/jGTqC4+bVWc5X/++xNZubUMGDub8Jjh1NepOPrDO+h0TaEqSqWy1fhNX1/fxjGK\nnIRC6euw+E5XVfKwJna1M8W3dqa+OgKtRk3F5RNU5GcYvD4tzR+xljsWoUwL3AIphkHYE+GGkwat\nvbDt3r2bFStWIJPJmDLtHpQ+fo1JfOcP4Bfe33DPZs5Iol+EjILM/zWFZ+TsYFrSBGbOSDLZCrws\n5wA707IN4SFqtRpFmWkpvfAAKM89yuWMbejyt7PoiQepOJtCed4xyvOOUZK1hUPpx0n+dgv/+vIb\nDhw8YmizXKEkoHscvoERhMWMotuAiRRm/mg4ZuaMJEYMjUdevIeG+lq0Wssx2sZMS5oAqgKTuvdV\n57dzNXQiQVEJFJ/+mT7DbkHpG0Bp7glOH/jGEKIyLWmCfW9YBxDKhcBdmTkjiQiyKTufRmDkYIKj\nEvg57ZTJmmWuaAsci1CmBW6Bp1swRM1b19PaC1t9fT2PPfYYWq2WF154gW/XvtsYnpEo48k5Y5k/\n0c9wz3x9fZlywxC6D5xMVWEWVYVZdO01nm0pu/D19WXimDgq8zOoKswiNHYMBbo4Nny/laeXvEdy\nGqiDRkL+dsjfQX3AMK7U+xPaeyQ94m+lvM6PxxatRC3zIzgqgeCoBDT44Bd3N+rIqaxJ3skvxwoo\nPd+k6BZm/kjEoCnodFrKc9OJGnYHp+sTWPji33jqxbdJTgMiJ+FdeYRHbh9oouxXX9iJX3h/kxe8\nbSm7CIiZiMK3K0XZqRRk/oh/zASDJax73M34dAkkduAoAE7vT6bozC90jb6RbSm72nxx9OQXS2v6\n5sn9N6cz9dWe+Pr6MmnMQBMvUr5uABu3pFilaAvsj6jm4SFIvRKEo9on9X7bgjU1jgWOo7UKD++9\n9x6nTp0iLi6O5cuXGyy4SqXSotzp60xbQqlUNos3Pnoii8uaxjhohVxBOREERyVwtSCT8L7jmrYj\nj00k98g39B55m+GziPgkqgqzCIoaSuTgaZzb9w96j7qPivwT1JbnU1dbhlajprr4NCG9RnLl8gnq\nKgsp8w8HrYaQXloq8n+ltqKCExnZ/PnZh/nDi68D8M6bz/LRP5IBWLzocUMFEehPSHTjlujlecea\nhZ/I5HK6D5xMrVpGXuYOcrP20L3/eKDtusOeXJfYmr55cv/N6Ux9tTctrTF6RbuQpnCzfM0AUa3G\nwQhl2gOQekF2e7Rv5owktu83TRialrRA0v0WeAaFhYWG2sl/+9vf0Gq1bcrdtKQJfPTlEgJjJwON\niXzTklYBlmV5xNB4stOsa4/SJ7DV78NjEyk5sxtllyB6DJkKQEHm/1D6h1J24SDhfcdB1FBKz+9H\nVVmIRlWNXOlDj/hbyaq+ym8eW0n3wbcBcP/CvxLabwJyhZLZv1tJQOxkIJ7yMz8g84skKHIwA6OU\nyDhFvmYAAGUX0giNGY1W08DgIYUUnNlP4bmDaPO2MXPG+0DbL46e/GJpTd88uf/mdKa+2hNL68jM\nGY2Jhq29zAscgwjzcHNUKhUvr1gt6RAIe4RoWAqDaK1IvcCxuGsyaGu05HJeunQplZWVTJs2jYqa\nBl5esZq8+t6tyt22lF0ExE42SeTblrILsCzLs2dNN1y7ob6WQAqRl+7HL7w/xWf3NIVsZKei1dRT\nfPaXps+yUgyhGGUX0gjsMZguIb0MFm2ZXEFEfBI+V8+ZfBYam4hft35oNHWE9Wl0F5ee20v3wbeh\n02mpLMjEOyiakjO7qS4+bdKf4H43U19VxNWc//H6i4/y/uuLmJMog/wdBEdfB8jo6ZXDvz95jXvv\nvQ+A87/+glKpRKVSsfbr7/jjS6+y9uvvPEZ+BAJn0lpooAifcT7CMi1RWgtf0H+nVqvZmZbNqcsa\ngqIav9Nq1FTkZ3LgoPuHPZhjDwuGJ4WF2II9+y11T0h7seRyLi8v5/PPP0cmk+EfOYR1e9RAPOUX\n9xs2PGnvtcxl+d1Vv2fD91v55ocjaKKmoKqtoPDwlyBXcsXHD7ncCy9lF7QN9aDTUZmfQW3FZYJ7\nj+Ti4fV4KbsQOWQaAFfLc1FVXMY3qMe1+tIywkKDqbPQlsbdEdUoDGEnaspz0wm7VlLvUsl5rpbl\nEhg52PD9lYvpRMY37vb4+HOrSf77K8yeNf3aenQKgG4RMjZtTWXa9DvYs3sH2dnZfPPNN6TsP08B\ncUA8e5P3szMtmw9e/0OHZVK8SAs6Gy09E0X4jPMRlmkJ0loilPF3yWmQeb4c/+4DKM05QEN9LWXn\n0wiOSuB0fYJkKl446i3Z1vN6ekWQlrB3vz05GdS8wsN7772HWq1m9JgbuBp0g4lVtyI/065JZPqy\nVprQRDQNdZTlHKBX4sP0Gv1btA11BPYYTFjfccgUXnTrfxPB0cMJ6zuO8gtp9El8kF4jZ1NyejfF\nZ37Bp2sIkfG3EnwtnKP03F78giOpOPtTUyWR8wdoqK2g5/CZFGXvoKG+ltA+N5B35FvCYhMNfY0a\nOgPfwEiKsn64VtM60yTxqSFkDBu3pLBxSwqFDCQ4ejiBPQaTfaGK5DRYnwZRfUcAsOzPyykgzmQc\nsy+rOyQ/5vItEAhEtRpnI5RpCdKasmL+XWhsIjUlZwmNGU3R6Z0mDzmpKDnm7qg3ly5g45aUDocI\n2FoBw5OVwNborP3uKNXV1Xz00UcAzLhzpuHzRu9PBpHKAn4zsoGbRvUz2clPz9hhvelSkkqcTwZv\nLm3aatyaEJmSM7uJjL+1aZ7HjKEoe3uznQ7Lzu+nx5DphuO6hPbCxy/UELYhkysI63MD6vpqiuWD\n6B/Vhdx9aziz+0Pk3r6E9b0BhdKXiPgkctLWUnJmN13DYpu1p7aqAIVfON6FP0JFdptjV1V4kpCY\nUVQWZFJZkInfgJn4+flzKvsk5Zfb/r0tmMt3R/HEECaB8xDy0zkRYR5ugFaj5mD6ScDyBg+NlQVk\n6NSWnLjSQP+WbO8QASknr3hqSElriS+exFdffcWVK1cYN24czz37e55e8h65db24cjGdsL5jUZHA\nJ+t/IKjPBLy8uxpkGeCpF98m83w5YX1u4XQ9/OHPHzA5cRAAO9OyKWQgAD/sepOQLjrkCgWLFz3e\nVGda17zes29gJMWndqJRVVFybi9hfW6weJwlugREkp+xjby6GnolPkJlfqbJDo0ASh9/IkKUlNbU\nU3gyle4Dbwag9Pw+uvW7iaKTqRSH9qZXjJqa0v1oQhvDQIzvv14u1HW1lF88TFifxp0US8/tZ+Lk\nKWzd8h8KjiUT3GMpAGXnDzC4b4hk4jk9NYRJ4Bxakh9o3+6DAvdBWKYliLGLuKG+lqt5e8iujWfd\nnsYYaeM6sD1kp/ndzATmJMpYOP82kw0fpJh04EorqTOTMqQUUmLvfneWmtjJyY0l4RYsWGDo8+CA\nsyben9C4qRRlb0en0xpkeeOWFE5dVptYhwsZyJqNvxpCs3Q6LZqGOn7NvsTp+gSya+OZ8eASvvzl\nKuqgkYT7aSnI2NoUknEtsTAiPgnkMuqrS7mSdxz11QoKMn80HHe1+Bx1NWUmG6qUnt9HQ30N0cPv\nImbM/ZTnpqNFY1KLuuz8AW4Y0ZcZU8Yg9/Km24AJVOZnkH9iCzIvJRWXTxA17A6Co4eTU9DA7ROH\nNbv/xnLRo0uJSf9D+yQS0bMPAIV5Z7j7unoGdT3Jk3PGdjhe2ly+O4Lw4gg6giX50deQl8KzQOA4\nhGVaQhhbMt9cuoBtKbs4mH6S7GtZ9AAFmjh+M7KBjJONluplixcSFBRkOMf9994lkg5awJlJGa3V\nLHY2jui3lD0CxrTXO1BUVMTOnTtRKpXcddddQGOfR48cRvYeNVqNmqrCk2i1WnyCIinK3o5PYCRX\nrw4k4+QZaisuExSVYHJOmVzeWAmj10iKsrdTf/UKvUbeY5CRboOmUpSdSuTgqch6TeXxobWs/+5b\nGvwHERozGrlCiVbTgH/3ODT1NVQXn6ZBXY1fWG9y0tbipexC1/A+hPQcTmVhFnlHvsWvWz8aVFWN\n59TXqo4ZQ1F2KmF9x1GUndr4WZ8bOHV2G0dOZNF9xION7YweTmCPIeQd+daknaF9EknZkco36z5s\ncZwPph8nu9Z0TENCw7n++us5dOgQmb+eYHTiDXax0pnL99Z3OnQ6gcCuGNeQB9ufBeu/2Wz1PPFU\nb6g7ICzTEsHckvncyjXMnJHE6JHDTI7TatT8JzWd7Np4smvjeW7lGpO3XKknHbi6ZI/Ux8dRdMZ+\nd8Q78P3336PVaklKSiI4ONjw+cwZSciK9xp2FwuMGIi6uoyIQbcQHJXAv77bTVZ1f7rHTTbZTrws\n5wABEYMMlTAiBt1CYOSgVtsQFBTExq8+oqH6MiBrLIN3MoUuwdE0qKrpNfIe+o59GHQ6QnpdR2Bk\nPEGRgyk6tYOgHkOJHDKNuorLdAnu2ezcyq6hFJ/eScSgW4gYdAslZ37GJ3Y63uHDmx3r5ePf7LMe\nkd1aHefFix6nKmeHyU6KyxYvZObMxtjz9Zt329VKZyzfHcHV65PAvbEkPyOGxtt8HuM5Ye08kZI3\ntDMilGmJ0JJ70XxyKkr2oglNNDnu5RWrXZbsYGuyhTNCBKSQACIeyq6nIy77zZs3A3DPPfeYfO7r\n68vdU8cYkuuKT/9M5OCmREH/2MlUF59GofSlW9wkupSkcs8oDYP7hAAyQyUMnU6LDi2FJ1MNMlKU\n9QNeXUIadxQs2YdarWbT1lRC+jVtS95twCSunNpKxKApyOQKdDotMqUvlfmZVBWd4tKR7+ge13h8\n2fl99Ei4ncAegynNaQr/unx8E2W5h00SFyMHT+NqWQ5BPYdSdHoX5XnHKM87RvGZ3XgHhHPp+H8M\nvy/I+pHrhg1udZy37zrAps9XEeeTQZeSVObPGo+Pjw/+wd0BKDp/GEByYRSdJYRJ4BjaqiFv7bPA\neE5Yu3aJECXXIsI8JI65C1OtnkSy2U5paWc1ZNeqnZ4s095kHUeGCEglgUjU+XRfdDod+/btA2Dy\n5MkWvy8+vYuIQVPQaVtOAJQrlMT07snc2XcydzbXtuJWkFXdVMdZG6GmJOM7RiX0hVB/ZJGjACg4\n+RMffnMIRc0FZEEDCewxGLlCSUN9LXWqWiou/4p/9wGUnNtH/dUKQvrciMLLmysX05tV/JArlITG\njKYiP4Pyi4fpGhyNj8ZysrJWo0arriX4WohKQeb/COk9itqyXApPNsqyrsH6uOTTF0uo0EbyzSHY\nf/w9bhrVjy4B4dRWlVBVlod/SHOruatxlxAmgTRpqYa8eBZ4NsIyLRFas2QauzDvnD7FxH1amJWC\nf/cBLnkTleKbsJTa1BlDK6REe70DZ86coaysjIiICGJiYky+U6lUfPvf3QbLcGCPwSbJfia7EeYc\nIKu6P08veQ+AOffcwavL/oi8eI+hjrNC6Uv4kLs5cfI8ssibDHIb3n8CDVcrCI7/DUFRCZSdT6O+\ntpKi7J/olfgIOrkvh//zKkf+93eO7/yCXV88w45/PMHR7f9kX/KL1F6tIazfePKvJTGCDE1dNTGj\n70en1eDjH2n4TqtpoCBzG37h/Sk6/bMhvlq/c2Le0e+IGjqDHkOmNf4bejsnMprK21ka52lJE3jw\n6dcgchJBUQmU56aTW9cLtVqNf2Bj2Ez5pSyqL+xkWtIE+910gUCC2PosMF6nrF27piVNaBZaJeaW\n8xCWaYlgrSVzW8ou/HqNp6owC4BucZMoObOLLsFR+IX3B7yd2WyBQLK01ztw4MABAMaOHYtMJjP5\nbuOWFCrpjj7lV65QEtx7JEXZqfgERqL0D8WvfBeXagKoKbtAZdEpyiIGsuH7rcybeze+vr7cd2dz\n71Ktzp8go7+rik4ZFHZoTPo7t+8f9BhyB3uTX+RKwWnDsT5dg/Hy8UPbUE9tdSmVpXkc2vQXfPxC\nGHbLk+Qd+ZbAyEGGHRsj4pM4u/sjQnqPouDk/xr74dWV8/s/B3QmuyECaNWqZjs9yhVN31sa541b\nUgzhaNCY9FiRn0HGyca618WXzlB8/iA9p/+JbSm73MoSbEtCmKARRybGeWLSnXEf5o33bnHtMu67\nWq020Q38om90u7nlzghlWkJY616UK5QERQ01bB2u02nx7zaAmtxfmJa0ygktbURq9YZVKpWhTm9D\nyBhJtEngWtrjsj9y5AgAo0ePtvh9QMRASnMOEBrTKGMlZ3dfq8ksQ1b4M5PHj+Yf3+2h96j7AMg/\n8V8+/OzfpB/9lZEjErhz+hR2H15jmDdXL2wnNDaRyye20DUsloDucVwtOW8ItdDToG7gl6+fR62q\nwrtLIFGDJhAc3hNfvyBDW/KObaauXk1e1s/UlF/i4KbX6Nn/ekM1Dv2a4dUlGJ2mgR7xU2mov0rh\nyZ/oP36Bob3d45OQK5SNFuuwWPJ/3UbkkNsAGpMJPzddZ6wZ52B5CSOGTmLf2cYXlNrq8nZvx+5s\nzBPCRP1p63Fk6J1UwvocSUvzyrzvirIDEDSSoKihAB0uEymwDRHm4WboXarGW4dHxt9KeW46Xa+9\niToLKSXr6BeW5DRQB41EVvgzcxJlHrewChxPbm4uAH379m323bSkCdTk/kJw9HVU5Gdw6cgGQmPH\nAjK8ytP48uOV/PSz6a6EkQnT8QobzOn6BD5M3s+zyz/kzaULmJPYqHwrI66n7PwBoobOIDgqgZIz\nu+k2cLJp0mDGD1zI3INaVUW3mBFMfPBdQsO6I9PUERx9HQUnU6jMzyAqYSoh3aOZ8Nu36DvqLtDp\nuHT6EKf3rjVZM2JH349MrkDTUEfRyZ/oOexOk/YWnd5BVWEW3Qfego9/d8YNjyLOJ4NBXU+y6fNV\nJuU4LWEe+qEfm9mzptMn5CoAtVWlbpOY256EMEEjjgy9k1JYn7Mx73tDyBjkxXtE0ruLEJZpN8Dc\njfXuqt/z8orVZF/bPAKa3KhwnVPb1tFkHXu56IwXFoVcgTZiIkql0umKtCe6HDsbeXl5AERHRzf7\nTh9mVV18GrlcTsSQ20kIvsjokcOYOeMVfH19uVJZhV+k6e/0NaZDYxPJvpzBpq2pHD2RRYU2HF35\nRUNFEIDuA2+mqjCL0JjRFJxMQQaUXD6Duq6G8N7DiRtzF6qKXLoPSiLv8AYupn1NQ0M11SXn8Ooa\nSmjMaMovHcdboab3kMlczNhBXvZ+vH28iRl1X9OaEZtIUXYqfuHNXxrkMsU171cDqsp8xoy6DaWy\n0Yrs4+PT5hg2D/14xTAX1qx+kfWfvE59bYXJNusCgaBj3HfnJMM8FYmOzsXhlmmtVsuyZcuYM2cO\n8+bN4+LFi46+pEdhqXYk0Kz+NDS6Ud3pTdTT6mJ6Wn86K60p09AUZhUUNRQv766MHjnMJLFozt3T\nyT/x32Y1pvXoNBq++eEA2bXxBEUlcLX0QrNraLVaQIZcXUVQz+u4dHI3AAmTHyOk13UGV67MS0mf\ncfMZMOEpQqNHUHHxEJXFF6iruEy/cY8yZMoTeHcJ5GpFARpt8+Veq9MawlYMJfqyt6P0Dze0Xdeg\nIuWX4zbLdUtJV35+fvTs2VjFo6ysrM3zSIH2JIQJGnFkmdDOXILUUt9nz5oukt5dhMOV6Z9++gm1\nWs369ev505/+xF/+8hdHX9KjsLb+tN6NKpUJZE2tZ3u66KSwqHZml6MnUVhYCEBkZGSz76yRs/kP\n3EP/2HBy0tZe2+pbjX7TlbLzBwiQFRiS83Q6LV2Ce5Gb/g0N9bVoNQ3k/7oVWfkJlAXbiAz15deU\nd9BpNYT0iKMy74jh2peOfkfvUfc2bdkdm0jX8L4UndxqCDNReHnTb/TdABScP2aiNJee30dlQQYF\nmT8awlbyT2yh/mo5Om0DRdmpKHz8iBgynXNFOioLMqksyCS3rpeJXBvP9YqKCqtqvPfo0aOxTQUF\nHb1ddqGt9co8Icw4fEwKde2ljCPDAR1xbne5n5b6DrTYdnfpl7vi8DCP9PR0brrpJgCGDx/Or7/+\n6uhLdgpac6O6GlckhYi6zgJ7oNPpqK+vB7AoP9bKmX9AMEE9hlBTcg5v7RUuH/kaRZdwfAK6U1KW\nR2R0Y03nsgsHCYtNJKTXcC4d30yX4Ci8uwYTEHsrhRcPE9ZnLPKjGQCERQ9E7t3VUO8ZZM2uC80T\nj6LibiRr1+dUleQQHD2CivwM6ioLCO8/gSt5JwjvfxN56d8g91LiF96XqoLToGkgYtAtAJSe24+q\nsoCeI2Ya/larxwKmc12rUfPRl0sIiG2szd3avNd/ph9rV2LremUc1tYZEuDsgSNrd9vz3O52P437\n3lrb3a1f7ojDLdPV1dX4+zdtR6tQKK65MAXWYG39aSlNCmsttPa2Jrt6PKRgHRd0DJ1OxyuvvMKy\nZcualcXT05acbdySQiEDr4VjDEEeHI/cJ4SuIdEE9xxGt8F3Unthe+NuiLFNu5lGDZ2B+mo54f1u\npLr4NGF9GnMiGuobrUj11SX4+IXiGxSJb1Akft36k3v0u6ZwkvMHuFpyDqVPIKXnm2pf60tlaRrU\nVBWdRqOqJrz/BIpOphAYOYhLR76j16jZ9L5+DmGxYwjsEW+4tkyuILRPInJll8bdFq/9bdxX/Vyv\nLj5NQOxkqzwzDz30EMuXL6d3794dvWUdpiMeJeGN8izc+X621nb9dzqdlsqCTDJza9nw/VYXt9iz\ncLhl2t/fn5qaGsPfWq0WuVwUEbEWay1h7pj45mnWZE/rT2dELpezbNmyDp9Hq2na5RCg9Hwt/t0G\nUHbhIMHR1zF0QDcUCgXZtW2fy8u7CwBdgnoSHD2cknN7QacjvN+40+uLAAATtklEQVSNhEQP4/ze\nz9ForqLTaQntO5G62gpCeo+iKDsV38BIQ7y2l3cXrpZdQFVRQE35RSIHT6WqIIuYxN9SfvGwoQ61\nzKiGtJ6uIT0pu3CQ0JjRgMyQ5NReHn744Q79XtB5ccdnnRQwX5O++eEAs2dNF+NnJxyu1Y4cOZJd\nuxrLtR09epSBAwc6+pIeR1uWMKklvtlioXW1NdneeFp/BLYzc0aSyS6H+njm6uLThMaMoSRrM6+8\ntIhXl/3RZJ4UZG4jtM8NlJ7bj194f8POiv6hvQC4Uvz/27vX4KjKPI/jv+5OJzEJuXAZRQiR2whM\nQI1BV4mKJRkzbMaBwZYERLyUClu4zIoIyoo4RtGitFZNtkZfWMru7IwiSjm3deOFYQxFEJmImIjI\nNZAEg+CYjsZ0up99AWnSAUJy0ulbvp93fRo6z8n/nNO/POc8z3NANvuJRU+c56X5V1AcefXtcsQn\na9CIyYpz2JV52Sx99cUHJ1ZRbHGr7ovNkqTE5HQlDczUyKvvVPqwbCUkDzzVrouu1D/qq+Xztqnt\nu3+o4fN3T/V4H9iq1KETTs4YVB1wPnc815MHjwlYgS1a7sz05o4Sd6NCq6+/66K5nl21/UzXpLaM\nK6Km1z0a9HnPdH5+vioqKlRUVCRJWr16dV//yH6n4+0dSf7bO+Fa+Yge2u6jlyW6nal+Z1vlsN1V\nl41VQkKC/zxZ8etnVLm7VfEDBqvhs7/I4UzSmIQaZd80Sb9fv05277ey2eN0ZM82NR09qLaW42r5\nR51Sh07wL3ribW1RxojL1bj7r0q/MFtDxl6nuh1vK3nwKO3d9pYkacyVLtntpy757Qu4/PBtg5IH\nj9EP3zaoyW5XxkWT9W1Dtb9ne2DWZNkdTvm8bbrA2aA1j6z2H6eB53q8fpZf4p/rPlrO+95cr7jW\nhVZff9dFcz27avu5rknoPZsxxoS7Ee0OHTqkG264Qe+9995Zp6WKZu3PYPb0V36uwPX7N/6g/67w\n+C8wPm+b5uXFn/ECY7UN0SqSw2rnQSEXOvacc1BIJO/PmfTl8RbuY7mr+rW/177K4bF9lUofkaNv\narcrY8TlGh5/0D/6ft1bf9Zrb2+Ud/DVsjucGha3V2seuUdLH3/J/9lb1j2srw/vUtqQi3R10VOy\nO5z6eu+Wk0uZv6tBo6bo2L5KDfnxVDV+uUnnX3yDfF6PPvnLM6rfs01J6UM18Zo5ysjKVeMXGzVo\n9BR9e/hTDRp1YiBh/c4/afDYqYqLT1LDZ39WYkKcUkder28Obvc/I31sf2VA2yP12Our4yLcxxu6\n/q6LtmvjuQT7eOt8TRoWt7db53EsH/fBzJyE6RCyclB2J3D15CSJ5ROjMythNZR68keQFPn7cyax\nHKbPVb/2L3ePx6OPqz7Vx/tt/t5kn7dNRVfa9LeP9wQsB3xzwZVyzZyuDX8sD/jspq8P6cP/WSKv\n5wcNybpMl/3zEsU5E3Xo729o2CUz5HAmqq31Ox3e8bbinOfJ623VkQOf6ci+KknSRdlTNXDoGCVl\nZCrlR2N19Mu/6fxx0wLavn/rWsU5k/WjcdP03bH9csTFy+dr0/fH65WUMSyg7V0dp+FGmI5dZ/uu\nkxR118Zz6YvjzcofHLF83Aczc7ICYoTrzm2tSL81Fa4eg0h7/KW3Ym1/Yl3HaaucTqe+bD0VjiWp\n6tMa1XnH+7e1ZVyhqk9r5HQ65fF4Aj4rOf0CXXrFVO34eLMaD/xdH7y8UMPGXauk5GT/ox5x8UlK\nSBsm97Ejqq3+QM3H6ySbXcPGXK6fTLtP3zZUK/WCCbLZHTov/cLT2jsoa/KpVQ/tcf6FYSS70i7M\nDmg7EA5n+677/Rt/4NrYDX05RWF/R5iOEZF6kjC/5dnNKMzX+1sCe1lmFN4X5lahu2YU5qvYdV7A\ntj8/JxV38/+faWKq7k5W5Wlp0v6qP0mSqiteP/s/ND4d3v2RDv/HrG5+cvd0tZ+x2IOFyBGp33Xo\n35ijLsJF8+hiKbzzdkb6766nq3dF+v70N/xBCESGYF8bWS0QPUXPdBS45vLRqvq0RpdOHC/XTHp1\nuyvSH3+RetbLEg37A5xJrA0O668itY7BvDZG893USK1Pf0CYjmCBJ/V4NX28R66Z4W5Vz4T7UYZY\nuyUYa/sT7YL1SMN//e5N/edrWzTw5IIKx/ZV6l+K/kmumdMDvtib9n+gpOFTZHc4dYHtC+2o+ljn\nXzonYCDhV7ve048uvsE/SHDJw09o1/fjVV/zjoaOvzHg335TvV7jfjJRDebHkro/wr8nojmc4JRI\nr2Owro3ROjYl0usT63jMI4JF89Km7Xr6KAPQHzmdTmWMuFxNR2rUdKRG6SNy5HQ6T7sGpGRN1YQB\nezQvL15Tr7hYJmFwt3+G3Xb6AMIrLhunstX/1qfnZyxcx0AdIx31CS/CdATrPKL/bNsiHasCAl2b\nUZiv4fEHNeD88Rpw/nhlJtSe9ZnPyTmTVHTzz+V0OjV4dJ4aav6vwyqK/6uBI6+S+8BG/Sz/WknS\nymWL1LT/Aw0ceZUaqk/9W/eBjVr18OIznp88M4r+KpbGpny0fQfncIgQpiPc1/u2nFrWd19luJsD\noA+c7Q7OuZYIHnFevQaNmqKGz8t1cNvvFD9gkL4/fkBJw6f4VyJMS0vT26+UKDv9oK6aOESjnZ9q\nXNLnevuVEqWlpZ3WlmAv2RxL4aQ/6y91jNa7qZ3r4z6wUTXuMX2y7DpOx6ItIdSTyc9bWlr8ywzL\nbpPdHqfkwWM0/7rkXj27Fa4J2EM5MIJBGJEjlhdtCZWujuf29z7avkM17jFyOE+815uFVXq6mFBv\n9yHYWLSl73BtDR2ri7wF+3oQy8c9i7bEuFMDCcYrfbj09d4tGjAi5+St3+ibhziUAyMYhIFY09XA\nqvb3ZhTmn7YyXCRdKxg4GxuoY2Rrr4/H49HWDTtls9s14PxxkmzhblrM4zGPCNR5IMHAkVdqwoDo\nXR41lAMjGISB/iiYt6b7y+18IBa1tLTor1u/UNqF2Uq9YIKO7duqC2xfcA73MXqmo8TknElRGaQB\nhEaweg2ZzxyIXhv+WK4G/dj/mNbAkVdq6hU2zuE+Rs90BIq1nqFQ7k+s/e6AcGAGHiB2OJ3OcDch\n5tEzHYFirWcolPsTa787AAC6K9wLpfVXzOYRQpEwKjYS2oD+g9k8EGrM5oFY0JvjLZizrsTycc9s\nHgAAADgNs66EHmEa/R5zpwIAAKsI0+jXmJcaAAD0BrN5oF9jXmoAANAbhGkAAADAIsI0+jXmpQYA\nAL3BM9Po15iXGgAA9AZhGv0e0wgBAACreMwDAAAAsIgwDQAAAFhEmAYAAAAsIkwDAAAAFhGmAQAA\nAIuYzSMKtLS0dJi6LZ+p2wAAACIEYTrCtbS06F///QXVeUdLkt7f8oKeL2EuZAAAgEjAYx4RbsMf\ny1XnHS2b3SGb3aHDbaP8vdQAAAAIL8I0AAAAYBFhOsLNKMzXhY498nnb5PO2aVjcXs0ozA93swAA\nACCemY54iYmJer7kvg4DEHleGgAAIFIQpqNAYmKiim7+ebibAQAAgE54zAMAAACwiDANAAAAWESY\nBgAAACwiTAMAAAAWEaYBAAAAiwjTAAAAgEWEaQAAAMAi5pkOA5vNFu4mREQb0H/05fHGsYwz6avj\nguMNocTxFh3omQYAAAAsomc6hIwx4W4CAAAAgoieaQAAAMAiwjQAAABgEWEaAAAAsIgwDQAAAFhE\nmAYAAAAsIkwDAAAAFhGmAQAAAIsI0wAAAIBFhGkAAADAIsI0AAAAYBFhGgAAALCIMA0AAABYRJgG\nAAAALCJMAwAAABYRpgEAAACLCNMAAACARYRpAAAAwCLCNAAAAGARYRoAAACwiDANAAAAWESYBgAA\nACwiTAMAAAAWEaYBAAAAiwjTAAAAgEWEaQAAAMAiwjQAAABgEWEaAAAAsIgwDQAAAFhEmAYAAAAs\nIkwDAAAAFhGmAQAAAIsI0wAAAIBFhGkAAADAIsI0AAAAYBFhGgAAALCIMA0AAABYRJgGAAAALCJM\nAwAAABYRpgEAAACLCNMAAACARYRpAAAAwCLCNAAAAGARYRoAAACwiDANAAAAWESYBgAAACwiTAMA\nAAAWEaYBAAAAiwjTAAAAgEWWw3R5ebmWLFnif11VVaVbbrlFxcXFKi0t9W8vLS2Vy+VSUVGRduzY\n0bvWAgAAABEkzsp/KikpUUVFhSZMmODftmrVKr3wwgvKzMzUPffco5qaGvl8Pn300Udat26d6uvr\ndd999+mNN94IWuMBAACAcLLUM52Tk6NVq1bJGCNJcrvdam1tVWZmpiQpLy9Pmzdv1vbt2zVlyhRJ\n0tChQ+X1enX8+PEgNR0AAAAIry57ptetW6e1a9cGbFu9erWmT5+uyspK/za3262UlBT/6+TkZNXW\n1iohIUHp6ekB291utzIyMs7487xerySpoaGh53sCAAAAdEN71mzPnr3RZZh2uVxyuVzn/JCUlBQ1\nNzf7X7vdbqWmpsrpdAZsb25u1oABA876OY2NjZKkuXPnnvNnAgAAAL3R2NiorKysXn2GpWemO0tJ\nSZHT6VRtba2GDx+uiooKLVq0SA6HQ2vWrNFdd92l+vp6+Xy+gJ7qzrKzs/Xb3/5WQ4YMkcPhCEbT\nAAAAgABer1eNjY3Kzs7u9WdZDtM2m002m83/+rHHHtMDDzwgr9ervLw8TZo0SZKUm5ur2bNny+fz\n6dFHH+3yMxMTE5Wbm2u1SQAAAEC39LZHup3NtI8iBAAAANAjLNoCAAAAWESYBgAAACwiTAMAAAAW\nEaYBAAAAi0Iepr1erx566CEVFxdrzpw52r17tw4cOKDi4mLNnTs3YGXF119/XbNmzdLs2bO1cePG\nUDcVnXg8Hi1dulRz586Vy+XS+++/T+2izCeffKJ58+ZJErWLAT6fTytXrlRRUZHmzZungwcPhrtJ\n6Iby8nItWbLE/7qqqkq33HKLiouLVVpa6t9eWloql8uloqIi7dixIxxNRQdNTU1asGCB5s2bp6Ki\nIlVVVUmiftHiu+++08KFC3Xrrbfqjjvu0JEjRyQFqX4mxMrLy83DDz9sjDGmsrLSLFiwwCxYsMBs\n3brVGGPMypUrTXl5ufnqq69MYWGhaW1tNU1NTaawsND88MMPoW4uOli/fr158sknjTHGfPPNN+a6\n666jdlHkpZdeMoWFhWb27NnGGGPuvfdeahfl3nnnHbN8+XJjjDFVVVVm4cKFYW4RzuXxxx83BQUF\n5v777/dv+8UvfmEOHjxojDHm7rvvNtXV1Wbnzp3mtttuM8YYU1dXZ2bNmhWW9uKU559/3rz66qvG\nGGP27t1rZs6caYwx5qabbqJ+UeCVV14xZWVlxhhj3nzzTVNSUmKMCU79grJoS09MmzZN119/vSTp\n8OHDSktL0+bNmzV58mRJ0rXXXquKigrZ7Xbl5OTI6XTK6XQqKytLu3bt0sSJE0PdZJxUUFCgG2+8\nUdKJHrG4uDhVV1dTuyiRlZWl0tJSPfjgg5JE7WLA9u3bdc0110iSLrnkEu3cuTPMLcK55OTkKD8/\nX6+99pqkEysGt7a2KjMzU5KUl5enzZs3Kz4+XlOmTJEkDR06VF6vV8ePH1dGRkbY2t7f3X777YqP\nj5cktbW1KSEhQW63Wx6Ph/pFgfnz58vn80k6lT+DVb+Qh2lJcjgcWr58ud59910999xzqqio8L+X\nnJyspqYmud3ugKXHk5OT5Xa7w9FcnJSUlCTpxMV/8eLF+tWvfqWnn37a/z61i2w//elPdejQIf9r\n02GKeWoXndxut1JSUvyvHQ6HfD6f7HaGw4TbunXrtHbt2oBtq1ev1vTp01VZWenf1rmGycnJqq2t\nVUJCQsCKwe3nImEsNM5Wv+zsbDU2NurBBx/UihUrqF+E6qp+8+fP1+7du/Xyyy8HrX5hCdOS9NRT\nT+no0aNyuVxqbW31b3e73UpNTVVKSoqam5v925ubm5WamhqOpqKD+vp6LVq0SHPnzlVhYaHWrFnj\nf4/aRZeOgYvaRafO9SJIRw6XyyWXy3XOf9e5hu3notPpPO1c7PiHLvrW2eq3a9cuLVmyRMuWLVNu\nbq7cbjf1i0BdnX+vvvqq9u7dq3vvvVdvvfVWUOoX8qvuhg0b9OKLL0o6sXy43W5Xdna2tm7dKkna\ntGmTcnNzNWnSJG3btk2tra1qamrSnj17NHbs2FA3Fx0cPXpUd955p5YuXapf/vKXkqTx48dTuyhF\n7aJfTk6ONm3aJOnEIJqLL744zC1CT6WkpMjpdKq2tlbGGFVUVCg3N1c5OTn68MMPZYxRXV2dfD5f\nQE8ZQu/LL7/U4sWL9cwzz/gfr6J+0ePFF1/Uhg0bJJ240+5wOIJWv5D3TBcUFGj58uW69dZb1dbW\nphUrVmjUqFF65JFH5PF4NHr0aBUUFMhms+m2227TnDlz5PP5dP/99/ufVUJ4/OY3v1FTU5PKyspU\nVlYmSVqxYoWeeOIJahdFbDabJGn58uWcd1EuPz9fFRUVKioqknTiNiYin81m85+HkvTYY4/pgQce\nkNfrVV5eniZNmiRJys3N1ezZs+Xz+fToo4+Gq7k46dlnn5XH41FJSYkkKTU1VWVlZdQvStx8881a\ntmyZ1q9fL5/P579eBqN+NtPxwUkAAAAA3cbDdQAAAIBFhGkAAADAIsI0AAAAYBFhGgAAALCIMA0A\nAABYRJgGAAAALCJMAwAAABb9P2qs+X2MVbNsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2413cf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,11))\n",
    "plt.scatter(harden_shots.LOC_X, harden_shots.LOC_Y)\n",
    "draw_court(outer_lines=True)\n",
    "# Descending values along the axis from left to right\n",
    "plt.xlim(300,-300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WbCNi+BRKaltfsxvf4OJo+dpTB6gryyMyadrFCLOJ97buZUMOHGtOo6oeVJXf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w7i4uLQtGlTSvcaG0sUCkWZCBcqZQmauSRjzbI5lE6MLSkuRAv3O2VO87PkZFhzbZ0vJ2jyHXKC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\nKpI+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x24604da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,11))\n",
    "plt.scatter(harden_shots.LOC_X, harden_shots.LOC_Y)\n",
    "draw_court()\n",
    "# Adjust plot limits to just fit in half court\n",
    "plt.xlim(-300,300)\n",
    "# Descending values along th y axis from bottom to top\n",
    "# in order to place the hoop by the top of plot\n",
    "plt.ylim(422.5, -47.5)\n",
    "# get rid of axis tick labels\n",
    "# plt.tick_params(labelbottom=False, labelleft=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = harden_id.tolist()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_player_img(player_id):\n",
    "    \"\"\"Returns the image of the player from stats.nba.com\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    player_id: int\n",
    "        The player ID used to find the image.\n",
    "    \"\"\"\n",
    "    url = \"http://stats.nba.com/media/players/230x185/\"+str(player_id)+\".png\"\n",
    "    img_file = str(player_id) + \".png\"\n",
    "    img = plt.imread(urllib.urlretrieve(url, img_file)[0])\n",
    "    return plt.imshow(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2411ffd0>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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HU2fGljmRk6N2gx0yLCXJK+eddK8SD2hv9B1umnOOqq6p6ophqKiHQwbDkaV9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\n+7cAeDqQ9qHpn/dlHGDohE3Vjpd2VJNUKVT9zwmil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      "text/plain": [
       "<matplotlib.figure.Figure at 0x22504710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_player_img(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def draw_court(ax=None, color='gray', lw=1, outer_lines=False):\n",
    "    \"\"\"\n",
    "    Returns an axes with a basketball court drawn onto to it.\n",
    "\n",
    "    This function draws a court based on the x and y-axis values that the NBA\n",
    "    stats API provides for the shot chart data.  For example, the NBA stat API\n",
    "    represents the center of the hoop at the (0,0) coordinate.  Twenty-two feet\n",
    "    from the left of the center of the hoop in is represented by the (-220,0)\n",
    "    coordinates.  So one foot equals +/-10 units on the x and y-axis.\n",
    "\n",
    "    TODO: explain the parameters\n",
    "    \"\"\"\n",
    "    if ax is None:\n",
    "        ax = plt.gca()\n",
    "\n",
    "    # Create the various parts of an NBA basketball court\n",
    "\n",
    "    # Create the basketball hoop\n",
    "    hoop = Circle((0, 0), radius=7.5, linewidth=lw, color=color, fill=False)\n",
    "\n",
    "    # Create backboard\n",
    "    backboard = Rectangle((-30, -7.5), 60, -1, linewidth=lw, color=color)\n",
    "\n",
    "    # The paint\n",
    "    # Create the outer box 0f the paint, width=16ft, height=19ft\n",
    "    outer_box = Rectangle((-80, -47.5), 160, 190, linewidth=lw, color=color,\n",
    "                          fill=False)\n",
    "    # Create the inner box of the paint, widt=12ft, height=19ft\n",
    "    inner_box = Rectangle((-60, -47.5), 120, 190, linewidth=lw, color=color,\n",
    "                          fill=False)\n",
    "\n",
    "    # Create free throw top arc\n",
    "    top_free_throw = Arc((0, 142.5), 120, 120, theta1=0, theta2=180,\n",
    "                         linewidth=lw, color=color, fill=False)\n",
    "    # Create free throw bottom arc\n",
    "    bottom_free_throw = Arc((0, 142.5), 120, 120, theta1=180, theta2=0,\n",
    "                            linewidth=lw, color=color, linestyle='dashed')\n",
    "    # Restricted Zone, it is an arc with 4ft radius from center of the hoop\n",
    "    restricted = Arc((0, 0), 80, 80, theta1=0, theta2=180, linewidth=lw,\n",
    "                     color=color)\n",
    "\n",
    "    # Three point line\n",
    "    # Create the right side 3pt lines, it's 14ft long before it arcs\n",
    "    corner_three_a = Rectangle((-220, -47.5), 0, 140, linewidth=lw,\n",
    "                               color=color)\n",
    "    # Create the right side 3pt lines, it's 14ft long before it arcs\n",
    "    corner_three_b = Rectangle((220, -47.5), 0, 140, linewidth=lw, color=color)\n",
    "    # 3pt arc - center of arc will be the hoop, arc is 23'9\" away from hoop\n",
    "    three_arc = Arc((0, 0), 475, 475, theta1=22, theta2=158, linewidth=lw,\n",
    "                    color=color)\n",
    "\n",
    "    # Center Court\n",
    "    center_outer_arc = Arc((0, 422.5), 120, 120, theta1=180, theta2=0,\n",
    "                           linewidth=lw, color=color)\n",
    "    center_inner_arc = Arc((0, 422.5), 40, 40, theta1=180, theta2=0,\n",
    "                           linewidth=lw, color=color)\n",
    "\n",
    "    # List of the court elements to be plotted onto the axes\n",
    "    court_elements = [hoop, backboard, outer_box, inner_box, top_free_throw,\n",
    "                      bottom_free_throw, restricted, corner_three_a,\n",
    "                      corner_three_b, three_arc, center_outer_arc,\n",
    "                      center_inner_arc]\n",
    "\n",
    "    if outer_lines:\n",
    "        # Draw the half court line, baseline and side out bound lines\n",
    "        outer_lines = Rectangle((-250, -47.5), 500, 470, linewidth=lw,\n",
    "                                color=color, fill=False)\n",
    "        court_elements.append(outer_lines)\n",
    "\n",
    "    # Add the court elements onto the axes\n",
    "    for element in court_elements:\n",
    "        ax.add_patch(element)\n",
    "\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Shot_Chart function should take a dataset as an argument and return a shot chart\n",
    "* Scatter should differentiate between ACTION_TYPE, EVENT_TYPE, SHOT_TYPE, SHOT_ZONE_AREA, SHOT_ZONE_BASIC, SHOT_ZONE_RANGE, TEAM_NAME, PLAYER_NAME \n",
    "* Scatter set dot size, color, alpha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "harden_shot_master = pd.merge(harden_shots, harden_shots_advanced, how='left', left_on=['GAME_ID', 'PERIOD', 'MINUTES_REMAINING', 'SECONDS_REMAINING'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CLOSEST_DEFENDER</th>\n",
       "      <th>CLOSEST_DEFENDER_PLAYER_ID</th>\n",
       "      <th>CLOSE_DEF_DIST</th>\n",
       "      <th>DRIBBLES</th>\n",
       "      <th>FGM</th>\n",
       "      <th>FINAL_MARGIN</th>\n",
       "      <th>GAME_CLOCK</th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>LOCATION</th>\n",
       "      <th>MATCHUP</th>\n",
       "      <th>PERIOD</th>\n",
       "      <th>PTS</th>\n",
       "      <th>PTS_TYPE</th>\n",
       "      <th>SHOT_CLOCK</th>\n",
       "      <th>SHOT_DIST</th>\n",
       "      <th>SHOT_NUMBER</th>\n",
       "      <th>SHOT_RESULT</th>\n",
       "      <th>TOUCH_TIME</th>\n",
       "      <th>W</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1438</th>\n",
       "      <td>Hill, Jordan</td>\n",
       "      <td>201941</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0:02</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>A</td>\n",
       "      <td>OCT 28, 2014 - HOU @ LAL</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>13</td>\n",
       "      <td>missed</td>\n",
       "      <td>1.8</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1439</th>\n",
       "      <td>Johnson, Wesley</td>\n",
       "      <td>202325</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>7:21</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>A</td>\n",
       "      <td>OCT 28, 2014 - HOU @ LAL</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>6.9</td>\n",
       "      <td>19.6</td>\n",
       "      <td>14</td>\n",
       "      <td>missed</td>\n",
       "      <td>0.4</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1440</th>\n",
       "      <td>Johnson, Wesley</td>\n",
       "      <td>202325</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>6:09</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>A</td>\n",
       "      <td>OCT 28, 2014 - HOU @ LAL</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>18.4</td>\n",
       "      <td>23.5</td>\n",
       "      <td>15</td>\n",
       "      <td>made</td>\n",
       "      <td>0.8</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1441</th>\n",
       "      <td>Davis, Ed</td>\n",
       "      <td>202334</td>\n",
       "      <td>3.6</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>2:37</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>A</td>\n",
       "      <td>OCT 28, 2014 - HOU @ LAL</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>16.3</td>\n",
       "      <td>5.8</td>\n",
       "      <td>16</td>\n",
       "      <td>made</td>\n",
       "      <td>6.1</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1442</th>\n",
       "      <td>Henry, Xavier</td>\n",
       "      <td>202333</td>\n",
       "      <td>4.1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0:34</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>A</td>\n",
       "      <td>OCT 28, 2014 - HOU @ LAL</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>10.1</td>\n",
       "      <td>24.9</td>\n",
       "      <td>17</td>\n",
       "      <td>missed</td>\n",
       "      <td>8.3</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     CLOSEST_DEFENDER  CLOSEST_DEFENDER_PLAYER_ID  CLOSE_DEF_DIST  DRIBBLES  \\\n",
       "1438     Hill, Jordan                      201941             0.7         1   \n",
       "1439  Johnson, Wesley                      202325             1.9         0   \n",
       "1440  Johnson, Wesley                      202325             5.0         1   \n",
       "1441        Davis, Ed                      202334             3.6         6   \n",
       "1442    Henry, Xavier                      202333             4.1         5   \n",
       "\n",
       "      FGM  FINAL_MARGIN GAME_CLOCK     GAME_ID LOCATION  \\\n",
       "1438    0            18       0:02  0021400003        A   \n",
       "1439    0            18       7:21  0021400003        A   \n",
       "1440    1            18       6:09  0021400003        A   \n",
       "1441    1            18       2:37  0021400003        A   \n",
       "1442    0            18       0:34  0021400003        A   \n",
       "\n",
       "                       MATCHUP  PERIOD  PTS  PTS_TYPE  SHOT_CLOCK  SHOT_DIST  \\\n",
       "1438  OCT 28, 2014 - HOU @ LAL       2    0         2         NaN        3.9   \n",
       "1439  OCT 28, 2014 - HOU @ LAL       3    0         2         6.9       19.6   \n",
       "1440  OCT 28, 2014 - HOU @ LAL       3    2         2        18.4       23.5   \n",
       "1441  OCT 28, 2014 - HOU @ LAL       3    2         2        16.3        5.8   \n",
       "1442  OCT 28, 2014 - HOU @ LAL       3    0         3        10.1       24.9   \n",
       "\n",
       "      SHOT_NUMBER SHOT_RESULT  TOUCH_TIME  W  \n",
       "1438           13      missed         1.8  W  \n",
       "1439           14      missed         0.4  W  \n",
       "1440           15        made         0.8  W  \n",
       "1441           16        made         6.1  W  \n",
       "1442           17      missed         8.3  W  "
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "harden_shots_advanced.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ACTION_TYPE</th>\n",
       "      <th>EVENT_TYPE</th>\n",
       "      <th>GAME_EVENT_ID</th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>GRID_TYPE</th>\n",
       "      <th>LOC_X</th>\n",
       "      <th>LOC_Y</th>\n",
       "      <th>MINUTES_REMAINING</th>\n",
       "      <th>PERIOD</th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>SECONDS_REMAINING</th>\n",
       "      <th>SHOT_ATTEMPTED_FLAG</th>\n",
       "      <th>SHOT_DISTANCE</th>\n",
       "      <th>SHOT_MADE_FLAG</th>\n",
       "      <th>SHOT_TYPE</th>\n",
       "      <th>SHOT_ZONE_AREA</th>\n",
       "      <th>SHOT_ZONE_BASIC</th>\n",
       "      <th>SHOT_ZONE_RANGE</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_NAME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Missed Shot</td>\n",
       "      <td>18</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>226</td>\n",
       "      <td>39</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>3PT Field Goal</td>\n",
       "      <td>Right Side(R)</td>\n",
       "      <td>Right Corner 3</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Layup Shot</td>\n",
       "      <td>Missed Shot</td>\n",
       "      <td>39</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>-15</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Restricted Area</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Made Shot</td>\n",
       "      <td>41</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>-232</td>\n",
       "      <td>110</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3PT Field Goal</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>Above the Break 3</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Missed Shot</td>\n",
       "      <td>95</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>-146</td>\n",
       "      <td>135</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Driving Layup Shot</td>\n",
       "      <td>Made Shot</td>\n",
       "      <td>120</td>\n",
       "      <td>0021400003</td>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>-8</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Restricted Area</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ACTION_TYPE   EVENT_TYPE  GAME_EVENT_ID     GAME_ID  \\\n",
       "0           Jump Shot  Missed Shot             18  0021400003   \n",
       "1          Layup Shot  Missed Shot             39  0021400003   \n",
       "2           Jump Shot    Made Shot             41  0021400003   \n",
       "3           Jump Shot  Missed Shot             95  0021400003   \n",
       "4  Driving Layup Shot    Made Shot            120  0021400003   \n",
       "\n",
       "           GRID_TYPE  LOC_X  LOC_Y  MINUTES_REMAINING  PERIOD  PLAYER_ID  \\\n",
       "0  Shot Chart Detail    226     39                  9       1     201935   \n",
       "1  Shot Chart Detail    -15     15                  8       1     201935   \n",
       "2  Shot Chart Detail   -232    110                  8       1     201935   \n",
       "3  Shot Chart Detail   -146    135                  4       1     201935   \n",
       "4  Shot Chart Detail     -8     22                  2       1     201935   \n",
       "\n",
       "    PLAYER_NAME  SECONDS_REMAINING  SHOT_ATTEMPTED_FLAG  SHOT_DISTANCE  \\\n",
       "0  James Harden                 58                    1             22   \n",
       "1  James Harden                 25                    1              2   \n",
       "2  James Harden                 21                    1             25   \n",
       "3  James Harden                 32                    1             19   \n",
       "4  James Harden                 38                    1              2   \n",
       "\n",
       "   SHOT_MADE_FLAG       SHOT_TYPE        SHOT_ZONE_AREA    SHOT_ZONE_BASIC  \\\n",
       "0               0  3PT Field Goal         Right Side(R)     Right Corner 3   \n",
       "1               0  2PT Field Goal             Center(C)    Restricted Area   \n",
       "2               1  3PT Field Goal  Left Side Center(LC)  Above the Break 3   \n",
       "3               0  2PT Field Goal  Left Side Center(LC)          Mid-Range   \n",
       "4               1  2PT Field Goal             Center(C)    Restricted Area   \n",
       "\n",
       "   SHOT_ZONE_RANGE     TEAM_ID        TEAM_NAME  \n",
       "0          24+ ft.  1610612745  Houston Rockets  \n",
       "1  Less Than 8 ft.  1610612745  Houston Rockets  \n",
       "2          24+ ft.  1610612745  Houston Rockets  \n",
       "3        16-24 ft.  1610612745  Houston Rockets  \n",
       "4  Less Than 8 ft.  1610612745  Houston Rockets  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "harden_shots.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2503e198>"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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zUPTcqarKt+79MW3GUoa7j5FRtGHS8OWxkX3Xf+4uHnvDN6kYZHfYkSwLUZBQ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\nfuybCGkrycrKZSAYxJ2VS9B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+vm7GfT/bRTYCw90xlWImUjLNZWx2NCZL0WWz2dGCQSzL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\no68y3xlFIBhgztbnmbBmNYKmAwKCKPZBmc2edUPXCflasUoaVaEC3M3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HywYLRH770ado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\nEAQIQuwCQYAgxC4QBAj/DxyA3jwBMeiBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2503ed30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shot_chart(harden_shots, likeness=harden_id.tolist()[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def shot_chart(data, x=\"LOC_X\", y=\"LOC_Y\", title=\"\", kind=\"scatter\", color=\"b\", cmap=None,\n",
    "               likeness=False, xlim=(-250, 250), ylim=(422.5, -47.5),\n",
    "               court_color=\"gray\", outer_lines=False, court_lw=1,\n",
    "               flip_court=False, kde_shade=True, hex_gridsize=None,\n",
    "               ax=None, **kwargs):\n",
    "    \"\"\"\n",
    "    data: dataset to be visualizaed\n",
    "    x = \"LOC_X\": default column name in dataset with X Coordinates\n",
    "    y = \"LOC_Y\": default column name in dataset with Y Coordinates\n",
    "    title=\"\":\n",
    "    kind = \"scatter\": Type of visual, default is \"scatter\"; takes: \"scatter\", \"kde\", \"hex\"\n",
    "    color = \"b\": default color\n",
    "    cmap = None: default color map\n",
    "    likeness = None: Logical indicator to determine inclusion of player photo. Takes player ID value\n",
    "    xlim = (-250,250): default plot limits\n",
    "    ylim = (422.5, -47.5),\n",
    "    court_color = \"gray\":\n",
    "    outer_lines=False:\n",
    "    hex_gridsize=None:\n",
    "    ax=None:\n",
    "    **kwargs\n",
    "    \"\"\"\n",
    "\n",
    "    if ax is None:\n",
    "        ax = plt.gca()\n",
    "\n",
    "    if cmap is None:\n",
    "        cmap = sns.light_palette(color, as_cmap=True)\n",
    "\n",
    "    if not flip_court:\n",
    "        ax.set_xlim(xlim)\n",
    "        ax.set_ylim(ylim)\n",
    "    else:\n",
    "        ax.set_xlim(xlim[::-1])\n",
    "        ax.set_ylim(ylim[::-1])\n",
    "\n",
    "    ax.tick_params(labelbottom=\"off\", labelleft=\"off\")\n",
    "    ax.set_title(title, fontsize=18)\n",
    "\n",
    "    draw_court(ax, color=court_color, lw=court_lw, outer_lines=outer_lines)\n",
    "\n",
    "    if kind == \"scatter\":\n",
    "        ax.scatter(data[x], data[y], c=color, **kwargs)\n",
    "\n",
    "    elif kind == \"kde\":\n",
    "        sns.kdeplot(data[x], data[y], shade=kde_shade, cmap=cmap,\n",
    "                    ax=ax, **kwargs)\n",
    "        ax.set_xlabel('')\n",
    "        ax.set_ylabel('')\n",
    "\n",
    "    elif kind == \"hex\":\n",
    "        if hex_gridsize is None:\n",
    "            # Get the number of bins for hexbin using Freedman-Diaconis rule\n",
    "            # This is idea was taken from seaborn, which got the calculation\n",
    "            # from http://stats.stackexchange.com/questions/798/\n",
    "            from seaborn.distributions import _freedman_diaconis_bins\n",
    "            x_bin = _freedman_diaconis_bins(data[x])\n",
    "            y_bin = _freedman_diaconis_bins(data[y])\n",
    "            hex_gridsize = int(np.mean([x_bin, y_bin]))\n",
    "\n",
    "        ax.hexbin(x, y, gridsize=hex_gridsize, cmap=cmap, **kwargs)\n",
    "\n",
    "    else:\n",
    "        raise ValueError(\"kind must be 'scatter', 'kde', or 'hex'.\")\n",
    "\n",
    "    if likeness is not None:\n",
    "        get_player_img(likeness)\n",
    "        \n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def heatmap_fgp(x, y, z, bins=20, title=\"\", cmap=plt.cm.YlOrRd,\n",
    "                xlim=(-250, 250), ylim=(422.5, -47.5),\n",
    "                facecolor='lightgray', facecolor_alpha=0.4,\n",
    "                court_color=\"black\", outer_lines=False, court_lw=0.5,\n",
    "                flip_court=False, ax=None, **kwargs):\n",
    "\n",
    "    \"\"\"\n",
    "    Returns an AxesImage object that contains a heatmap of the FG%\n",
    "\n",
    "    TODO: Explain parameters\n",
    "    \"\"\"\n",
    "\n",
    "    # Bin the FGA (x, y) and Calculcate the mean number of times shot was\n",
    "    # made (z) within each bin\n",
    "    # mean is the calculated FG percentage for each bin\n",
    "    mean, xedges, yedges, binnumber = binned_statistic_2d(x=x, y=y,\n",
    "                                                          values=z,\n",
    "                                                          statistic='mean',\n",
    "                                                          bins=bins)\n",
    "\n",
    "    if ax is None:\n",
    "        ax = plt.gca()\n",
    "\n",
    "    if not flip_court:\n",
    "        ax.set_xlim(xlim)\n",
    "        ax.set_ylim(ylim)\n",
    "    else:\n",
    "        ax.set_xlim(xlim[::-1])\n",
    "        ax.set_ylim(ylim[::-1])\n",
    "\n",
    "    ax.tick_params(labelbottom=\"off\", labelleft=\"off\")\n",
    "    ax.set_title(title, fontsize=18)\n",
    "\n",
    "    ax.patch.set_facecolor(facecolor)\n",
    "    ax.patch.set_alpha(facecolor_alpha)\n",
    "\n",
    "    draw_court(ax, color=court_color, lw=court_lw, outer_lines=outer_lines)\n",
    "\n",
    "    heatmap = ax.imshow(mean.T, origin='lower', extent=[xedges[0], xedges[-1],\n",
    "                        yedges[0], yedges[-1]], interpolation='nearest',\n",
    "                        cmap=plt.cm.YlOrRd)\n",
    "\n",
    "    return heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Bokeh Shot Chart\n",
    "def bokeh_draw_court(figure, line_width=1, line_color='gray'):\n",
    "    \"\"\"Returns a figure with the basketball court lines drawn onto it\"\"\"\n",
    "\n",
    "    # hoop\n",
    "    figure.circle(x=0, y=0, radius=7.5, fill_alpha=0,\n",
    "                  line_color=line_color, line_width=line_width)\n",
    "\n",
    "    # backboard\n",
    "    figure.line(x=range(-30,31), y=-7.5, line_color=line_color)\n",
    "\n",
    "    # The paint\n",
    "    # outerbox\n",
    "    figure.rect(x=0, y=47.5, width=160, height=190,fill_alpha=0, \n",
    "                line_color=line_color, line_width=line_width)\n",
    "    # innerbox\n",
    "    # left inner box line\n",
    "    figure.line(x=-60, y=np.arange(-47.5, 143.5), line_color=line_color,\n",
    "                line_width=line_width)\n",
    "    # right inner box line\n",
    "    figure.line(x=60, y=np.arange(-47.5, 143.5), line_color=line_color,\n",
    "                line_width=line_width)\n",
    "\n",
    "    # Restricted Zone\n",
    "    figure.arc(x=0, y=0, radius=40, start_angle=pi, end_angle=0,\n",
    "               line_color=line_color, line_width=line_width)\n",
    "\n",
    "    # top free throw arc\n",
    "    figure.arc(x=0, y=142.5, radius=60, start_angle=pi, end_angle=0,\n",
    "               line_color=line_color)\n",
    "\n",
    "    # bottome free throw arc\n",
    "    figure.arc(x=0, y=142.5, radius=60, start_angle=0, end_angle=pi,\n",
    "               line_color=line_color, line_dash=\"dashed\")\n",
    "\n",
    "    # Three point line\n",
    "    # corner three point lines\n",
    "    figure.line(x=-220, y=np.arange(-47.5, 92.5), line_color=line_color,\n",
    "                line_width=line_width)\n",
    "    figure.line(x=220, y=np.arange(-47.5, 92.5), line_color=line_color,\n",
    "                line_width=line_width)\n",
    "    # # three point arc\n",
    "    figure.arc(x=0, y=0, radius=237.5, start_angle=3.528, end_angle=-0.3863,\n",
    "               line_color=line_color, line_width=line_width)\n",
    "\n",
    "    # add center court\n",
    "    # outer center arc\n",
    "    figure.arc(x=0, y=422.5, radius=60, start_angle=0, end_angle=pi,\n",
    "               line_color=line_color, line_width=line_width)\n",
    "    # inner center arct\n",
    "    figure.arc(x=0, y=422.5, radius=20, start_angle=0, end_angle=pi,\n",
    "               line_color=line_color, line_width=line_width)\n",
    "\n",
    "\n",
    "    # outer lines, consistting of half court lines and out of bounds\n",
    "    # lines\n",
    "    figure.rect(x=0, y=187.5, width=500, height=470, fill_alpha=0,\n",
    "                line_color=line_color, line_width=line_width)\n",
    "    \n",
    "    return figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def bokeh_shot_chart(source, x=\"LOC_X\", y=\"LOC_Y\", fill_color=\"#1f77b4\",\n",
    "                     fill_alpha=0.3, line_alpha=0.3, court_lw=1,\n",
    "                     court_line_color='gray'):\n",
    "    \"\"\"\n",
    "    Returns a figure with both FGA and basketball court lines drawn onto it.\n",
    "\n",
    "    This function expects data to be a ColumnDataSource with the x and y values\n",
    "    named \"LOC_X\" and \"LOC_Y\".  Otherwise specify x and y.\n",
    "    \"\"\"\n",
    "\n",
    "    fig = figure(width=700, height=658, x_range=[-250, 250],\n",
    "                 y_range=[422.5, -47.5], min_border=0,\n",
    "                 x_axis_type=None, y_axis_type=None,\n",
    "                 outline_line_color=\"black\")\n",
    "\n",
    "    fig.scatter(x, y, source=source, size=10, fill_alpha=0.3,\n",
    "                line_alpha=0.3)\n",
    "\n",
    "    bokeh_draw_court(fig, line_color='gray')\n",
    "\n",
    "    return fig"
   ]
  }
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